Abstract
This article focuses on overt pronouns which are related to a topic and an event in news stories, and studies issues on the effect of their resolution in topic tracking. The antecedent of the pronoun is identified by using three linguistic features, morphological, syntactic and semantic knowledge. The morphological cues are part-of-speech information including named entities. Syntactic and semantic information is verbs and their subcategorization frames with selectional preferences. They are derived from the WordNet and VerbNet. The results on the TDT3 English show the usefulness of the overt pronoun resolution, especially for a small number of positive training data.
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Fukumoto, F., Suzuki, Y. (2011). Effect of Overt Pronoun Resolution in Topic Tracking. In: Vetulani, Z. (eds) Human Language Technology. Challenges for Computer Science and Linguistics. LTC 2009. Lecture Notes in Computer Science(), vol 6562. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20095-3_18
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DOI: https://doi.org/10.1007/978-3-642-20095-3_18
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